Ultimately, the success of any persistent ISR system will be judged by the quality (timeliness, accuracy and provenance)
of the intelligence products that it delivers. In deploying multiple sensors to gather intelligence there is frequently a
tripartite trade-off to be made between the physical constraints imposed by the sensor and platform performance both
against the requirements of that mission and against the information needs of other users. Thus there is a need when
working with constrained resources to optimise deployment through intelligent tasking to maximise the information
quality without contradictory or over-constraining requirements and whilst maintaining mission efficiency.
This paper considers recent advancements in defining mission specifications to better facilitate the optimum deployment
of sensors against competing requirements and the needs of different missions. Considerations will be based against a
scenario of a number of airborne vehicles carrying heterogeneous imaging sensors tasked for mine detection missions.